Business Data Analyst

Responsibilities:

Position Summary:

This role requires a strong technical skill. The ideal candidate possesses strong analytical mindset and a strong problem-solving skill and can translate complex datasets into actionable business recommendations.

Position Responsibilities may include, but not limited to:

• Monitor and troubleshoot data refresh processes for BI reports and dashboards.
• Work with the team to identify and resolve data inconsistencies and errors.
• Collaborate with IT and data engineers to maintain and optimize data pipelines.
• Maintain documentation for data refresh schedules, configurations, and issue resolutions.
• Assist in user support for report access and functionality issues.
• Proactively suggest improvements to enhance data reliability and efficiency

• Extract, clean, and analyze large datasets from multiple data sources (JDE, KOMPASS, MBSYNC, Samsara, Paragon, among others) and data warehouse (Snowflake) to provide comprehensive insights into business performance.
• Conduct deep-dive analyses to identify patterns, trends, and relationships in the data that will inform key business decisions.
• Assist in the design and deployment of Prescriptive analysis to support process optimization and data insights.
• Perform root cause analysis of business challenges and recommend data-driven solutions.
• Identify opportunities for process improvements, cost reductions, and efficiency gains using data.
• Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

• Design, develop, and maintain complex reports, dashboards, and visualizations using business intelligence tool like Power BI
• Collaborate with department heads to define and track Key Performance Indicators (KPIs) relevant to the company’s strategic goals.
• Translate business questions into data requirements and provide concise answers through reporting.

• Work with the data science team to identify opportunities to integrate machine learning and AI into business processes
• Assist in the design, development, and deployment of machine learning/AI models to automate decision-making processes and optimize operations
• Evaluate the results of machine learning models, ensuring they align with business objectives
• Stay updated on the latest technology solution and integrate new techniques into business workflow

• Work closely with various business units (Operations &Transportation, Finance, Supply Chain, ROP, REX, Centralized Routing) to understand their business needs and develop tailored technical solutions
• Provide regular presentations of data insights, reports, and recommendations to senior management and executive leadership
• Serve as the liaison between technical teams (Data ingestion, Data Engineers) and business stakeholders to ensure alignment in data strategies and technology implementations

• Maintain data integrity, ensure data accuracy, and establish best practices for data collection, validation, and governance
• Identify data gaps and work with data ingestion and IT teams to improve data architecture and system integrations
• Ensure compliance with data privacy regulations and internal data governance policies

• Lead or participate in cross-functional projects focused on leveraging data to drive innovation and continuous improvement
• Track project milestones, manage timelines, and ensure successful delivery of data-related projects within deadlines
• Other projects or duties as assigned

Qualifications:

Required Skills and Experience:

• Bachelor’s degree in computer science, Data Science or a related field. Master’s degree preferred.
• 2+ years of experience in data analysis and visualization tools such as Power BI, Tableau and Qlik
• Willingness to learn and understand business operations across business units
• Strong knowledge of data warehousing, ETL processes, SQL, DAX, M-Query, data source and data warehouse (Snowflake)
• Familiarity with R scripting and Python.
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills with the ability to communicate and present complex ideas and data insights clearly and effectively to non-technical
• stakeholders.Eagerness to learn new technologies especially in ML/AI space
• Collaborative mindset with a focus on driving innovative solutions
• Attention to detail and commitment to data accuracy
• This position must pass a post-offer background check

Physical Demands and Work Environment:

Should an individual in this classification not be able to adhere to this requirement due to a disability, they should contact their Human Resources department to see what, if any, reasonable accommodation may be made.